Smart Contract-Enabled Micro-Credentialing for Competency-Based E-Learning: Architecture, Empirical Analysis, and Design Guidelines
Main article
Abstract
Competency-Based Education (CBE) demands credential systems that are granular, portable, tamper-evident, and continuously updatable — requirements that traditional Learning Management Systems (LMS) cannot satisfy. Smart contract technology, deployed on permissioned blockchain networks, offers a programmable trust layer capable of automating micro-credential issuance, enforcing competency prerequisites, and enabling employer-facing verifiable presentations without institutional intermediaries. This article presents a comprehensive review and empirical analysis of smart contract-enabled micro-credentialing systems, synthesising 76 peer-reviewed studies published between 2018 and 2025 through a PRISMA-guided Systematic Literature Review (SLR). We propose a five-layer reference architecture integrating Hyperledger Fabric chaincode, W3C Verifiable Credentials, Decentralised Identifiers (DIDs), and IPFS-based hybrid storage. Empirical benchmarking across five blockchain platforms reveals that Hyperledger Fabric achieves optimal throughput (3,500 TPS) and lowest latency (0.5 s average) for educational workloads. A multi-criteria evaluation covering security, privacy, scalability, GDPR compliance, and interoperability demonstrates that SSI-anchored architectures outperform both public blockchain and centralised LMS alternatives across seven dimensions. Critical barriers — including oracle security gaps, GDPR/FERPA regulatory conflicts, smart contract auditability, and digital equity concerns — are systematically analysed, and a five-phase institutional implementation roadmap is proposed. This work provides the most architecturally complete and empirically grounded blueprint to date for practitioners designing next-generation, blockchain-secured competency credential ecosystems.
